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Job Description
Supporting Actions (Max 1325 characters for each KRA)
Integrated Data Analytics & Insights Generation
- Aggregate and analyze data from CMAS, Asset Health Assurance Portal(AHAP) , SCADA, Project Management System, SAP, Forecasting & Scheduling, and DSM Dashboard.
- Develop ABRen-level data models and dashboard engines that produce actionable insights to improve asset performance and reliability.
- Use Python, R, and SPSS for advanced analytics, predictive modeling, and trend identification across Solar and Wind assets.
- Analyse IEX data on daily basis and forecast block-wise prices on day ahead basis for surplus power from various RE projects. Work closely with QCA and trader for overall short-term power sale strategy
- Design, monitor, and automate key KPIs for both Solar and Wind assets, including availability, PR, downtime, curtailment, energy yield, and financial metrics.
- Benchmark KPIs across OEMs, technologies, and geographies to support continuous improvement and bring operational excellence.
- Deliver regular insight reports and recommendations to O&M leadership, highlighting underperformance, improvement opportunities, and corrective actions.
- Act as a central liaison with O&M, engineering, IT, site teams, and external vendors to enable transparent, timely information sharing and collective problem-solving.
- Drive the integration of new assets or systems into the data analytics framework, ensuring smooth onboarding and proactive resolution of technical issues.
- Develop and maintain process documentation to streamline communication and enable process enhancements across teams.
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- Evaluate evolving portfolio needs and user feedback to recommend enhancements to data models, analytics modules, and dashboard functionality.
- Stay abreast of industry best practices in renewable energy analytics to drive innovation, automation, and operational excellence.
- Support training and adoption of digital tools within O&M teams, promoting data-driven culture and continuous learning.
- Along with IT Team, lead the foundation and ongoing development of the ABRen Datalake, ensuring seamless ingestion and normalization of diverse datasets.
- Establish robust ETL processes to ensure data accuracy, completeness, and consistent integration from multiple sources and protocols.
- Document and resolve data structure/quality issues, maintaining high standards for timestamp and signal reliability.
Skills
Advanced AnalyticsData AnalyticsPythonEtlPredictive ModelingSpssAnalyticsIf an employer asks you to pay any kind of fee, please notify us immediately. Jobaaj does not charge any fee from the applicants and we do not allow other companies also to do so.
Important dates & deadlines?
Application Deadline
02 May 26, 03:58 PM IST
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